Management of Change
Overview
Management of Change (MOC) refers to the systematic approach to managing the transition or transformation of an organization’s goals, processes, or technologies. It involves planning, implementing, and monitoring changes to minimize resistance and maximize the benefits of change initiatives. Effective change management ensures that organizations can adapt to evolving market conditions, new technologies, and shifting business environments.
What You’ll Learn
- Understanding Change:
- Change Models and Theories:
- Managing Resistance
- Communication Strategies:
- Leadership in Change:
- Monitoring and Evaluating Change:
Job Opportunities:
- Change Manager: Leading and implementing change initiatives across an organization.
- Organizational Development Specialist: Designing programs to improve organizational effectiveness and facilitate change.
- Project Manager: Managing projects that involve significant organizational change, ensuring alignment with business goals.
- Human Resources Manager: Overseeing employee training and development during periods of change.
- Consultant: Advising organizations on how to manage and implement change effectively.
- Business Analyst: Analyzing business processes to identify areas for improvement and supporting change efforts.
Chapters
- Introduction to Change Management:
- Models of Change:
- Planning and Preparing for Change:
- Implementing Change:
- Managing Resistance to Change:
- Communication during Change
- Evaluating and Sustaining Change:
- Leadership in Change Management:
Students are required to complete 39 hours of in-class training.
39 hours
Program Summary
This table will display a summary of total instructional hours, delivery format and percentage weight for every Type of Learning entered in the List of Subjects. The ministry, career college and any subject or education assessors may refer to this section for a general understanding of the components of the program.
| Type of Learning | Total Instruction Hours | Delivery Format | % Weight |
|---|---|---|---|
| Theory | 20.00 | On-Line | 58.67% |
| Practical | 19.00 | On-Line | 41.33% |
| Total Type of Learning | 39.00 | ||
| Total Program Hours | 39.00 | 100.00% |
$CAD
Details
Certification
39 Hours
Updated: 03/01/2025
Prerequisites
If you attended a post-secondary institution after high school, we need both your high school transcript and your post-secondary transcript.
- Entry into many of our programs is competitive and your post-secondary marks can strengthen your application.
- If you did not graduate from high school and have a GED, send us a copy.
- Even if you graduated a while ago, we still need your high school transcript.
- If you cannot obtain it, let us know and we can discuss your options.
- If you studied at college or university, you must submit your post-secondary transcript AND
your high-school transcript. This may strengthen your application.
- Basic understanding of machine learning concepts.
- Familiarity with Python programming and libraries like TensorFlow or PyTorch.
- Understanding of neural networks and deep learning fundamentals.
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